{"title":"印度大城市空气污染物的纵向研究：季节模式和城市变化","authors":"Manish Sharma, Karan Singh, Alok Sagar Gautam, Sneha Gautam","doi":"10.1007/s41810-024-00262-4","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the longitudinal trends and spatial variability of atmospheric trace gases and particulate matter (PM<sub>2.5</sub>) in five major Indian metropolitan areas: Delhi, Chennai, Hyderabad, Kolkata, and Mumbai, over the period from 2016 to 2020. Utilizing data from satellite remote sensing and ground-based monitoring stations, we analyze the seasonal and daily variations in concentrations of key pollutants, including nitrogen dioxide (NO<sub>2</sub>), sulfur dioxide (SO<sub>2</sub>), ozone (O<sub>3</sub>), and PM<sub>2.5</sub>. The study reveals distinct seasonal patterns influenced by meteorological conditions, urban activities, and regulatory measures. Elevated levels of pollutants are observed during winter months, particularly in Delhi, attributed to temperature inversions and biomass burning. Comparative analysis highlights significant urban variability, with Delhi exhibiting the highest pollution levels, while Chennai shows the lowest. Statistical analysis reveals that Delhi records the highest average daily concentrations of CH<sub>4</sub> (1869.50 ± 31.08 ppbv) and PM<sub>2.5</sub> (106.99 ± 83.49 µg/m<sup>3</sup>), while Chennai consistently records the lowest levels of CH<sub>4</sub> (1836.82 ± 26.78 ppbv) and PM<sub>2.5</sub> (33.42 ± 27.85 µg/m<sup>3</sup>). These findings provide critical insights into the temporal dynamics and spatial heterogeneity of air pollution, essential for devising targeted air quality management strategies in Indian cities.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"9 3","pages":"320 - 335"},"PeriodicalIF":2.0000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Longitudinal Study of Air Pollutants in Indian Metropolises: Seasonal Patterns and Urban Variability\",\"authors\":\"Manish Sharma, Karan Singh, Alok Sagar Gautam, Sneha Gautam\",\"doi\":\"10.1007/s41810-024-00262-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study investigates the longitudinal trends and spatial variability of atmospheric trace gases and particulate matter (PM<sub>2.5</sub>) in five major Indian metropolitan areas: Delhi, Chennai, Hyderabad, Kolkata, and Mumbai, over the period from 2016 to 2020. Utilizing data from satellite remote sensing and ground-based monitoring stations, we analyze the seasonal and daily variations in concentrations of key pollutants, including nitrogen dioxide (NO<sub>2</sub>), sulfur dioxide (SO<sub>2</sub>), ozone (O<sub>3</sub>), and PM<sub>2.5</sub>. The study reveals distinct seasonal patterns influenced by meteorological conditions, urban activities, and regulatory measures. Elevated levels of pollutants are observed during winter months, particularly in Delhi, attributed to temperature inversions and biomass burning. Comparative analysis highlights significant urban variability, with Delhi exhibiting the highest pollution levels, while Chennai shows the lowest. Statistical analysis reveals that Delhi records the highest average daily concentrations of CH<sub>4</sub> (1869.50 ± 31.08 ppbv) and PM<sub>2.5</sub> (106.99 ± 83.49 µg/m<sup>3</sup>), while Chennai consistently records the lowest levels of CH<sub>4</sub> (1836.82 ± 26.78 ppbv) and PM<sub>2.5</sub> (33.42 ± 27.85 µg/m<sup>3</sup>). These findings provide critical insights into the temporal dynamics and spatial heterogeneity of air pollution, essential for devising targeted air quality management strategies in Indian cities.</p></div>\",\"PeriodicalId\":36991,\"journal\":{\"name\":\"Aerosol Science and Engineering\",\"volume\":\"9 3\",\"pages\":\"320 - 335\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerosol Science and Engineering\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41810-024-00262-4\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerosol Science and Engineering","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s41810-024-00262-4","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Longitudinal Study of Air Pollutants in Indian Metropolises: Seasonal Patterns and Urban Variability
This study investigates the longitudinal trends and spatial variability of atmospheric trace gases and particulate matter (PM2.5) in five major Indian metropolitan areas: Delhi, Chennai, Hyderabad, Kolkata, and Mumbai, over the period from 2016 to 2020. Utilizing data from satellite remote sensing and ground-based monitoring stations, we analyze the seasonal and daily variations in concentrations of key pollutants, including nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and PM2.5. The study reveals distinct seasonal patterns influenced by meteorological conditions, urban activities, and regulatory measures. Elevated levels of pollutants are observed during winter months, particularly in Delhi, attributed to temperature inversions and biomass burning. Comparative analysis highlights significant urban variability, with Delhi exhibiting the highest pollution levels, while Chennai shows the lowest. Statistical analysis reveals that Delhi records the highest average daily concentrations of CH4 (1869.50 ± 31.08 ppbv) and PM2.5 (106.99 ± 83.49 µg/m3), while Chennai consistently records the lowest levels of CH4 (1836.82 ± 26.78 ppbv) and PM2.5 (33.42 ± 27.85 µg/m3). These findings provide critical insights into the temporal dynamics and spatial heterogeneity of air pollution, essential for devising targeted air quality management strategies in Indian cities.
期刊介绍：
ASE is an international journal that publishes high-quality papers, communications, and discussion that advance aerosol science and engineering. Acceptable article forms include original research papers, review articles, letters, commentaries, news and views, research highlights, editorials, correspondence, and new-direction columns. ASE emphasizes the application of aerosol technology to both environmental and technical issues, and it provides a platform not only for basic research but also for industrial interests. We encourage scientists and researchers to submit papers that will advance our knowledge of aerosols and highlight new approaches for aerosol studies and new technologies for pollution control. ASE promotes cutting-edge studies of aerosol science and state-of-art instrumentation, but it is not limited to academic topics and instead aims to bridge the gap between basic science and industrial applications. ASE accepts papers covering a broad range of aerosol-related topics, including aerosol physical and chemical properties, composition, formation, transport and deposition, numerical simulation of air pollution incidents, chemical processes in the atmosphere, aerosol control technologies and industrial applications. In addition, ASE welcomes papers involving new and advanced methods and technologies that focus on aerosol pollution, sampling and analysis, including the invention and development of instrumentation, nanoparticle formation, nano technology, indoor and outdoor air quality monitoring, air pollution control, and air pollution remediation and feasibility assessments.
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